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SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
14 years 8 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
IHI
2010
198views Healthcare» more  IHI 2010»
13 years 5 months ago
Large-scale multimodal mining for healthcare with mapreduce
Recent advances in healthcare and bioscience technologies and proliferation of portable medical devices are producing massive amounts of multimodal data. The need for parallel pro...
Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mah...
ESEC
1991
Springer
14 years 2 months ago
A Dynamic Failure Model for Predicting the Impact that a Program Location has on the Program
This paper presents a dynamic technique for predicting the e ect that a location" of a program will have on the program's computational behavior. The technique is based ...
Jeffrey M. Voas
CVPR
2003
IEEE
15 years 1 months ago
Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms
In this paper, we present a new multimodal image registration method based on the a priori knowledge of the class label mappings between two segmented input images. A joint class ...
Ho-Ming Chan, Albert C. S. Chung, Simon C. H. Yu, ...
ICMI
2009
Springer
162views Biometrics» more  ICMI 2009»
14 years 5 months ago
Multi-modal features for real-time detection of human-robot interaction categories
Social interactions unfold over time, at multiple time scales, and can be observed through multiple sensory modalities. In this paper, we propose a machine learning framework for ...
Ian R. Fasel, Masahiro Shiomi, Pilippe-Emmanuel Ch...